【摘要】：針對現(xiàn)有基于時間信道的主動網(wǎng)絡(luò)流水印技術(shù)缺少自糾錯和難以抵御熵值隱蔽性嗅探的缺陷,提出一種基于平滑分組的分組間隔時間流水印方法。利用卷積碼擴展水印信息,并采用平滑分組的方法將水印信息嵌入數(shù)據(jù)分組流中,通過交替調(diào)制數(shù)據(jù)分組間隔時間,使水印數(shù)據(jù)流的分組間隔分布特征無限逼近于正常的網(wǎng)絡(luò)流,有效降低了數(shù)據(jù)分組在傳輸過程中遇到的時延抖動、分組丟失、分組合并、分組分片等因素干擾。理論分析和實驗結(jié)果均表明,與現(xiàn)有的數(shù)據(jù)分組流水印技術(shù)相比,該方法具有檢測準確度高、頑健性和隱蔽性好的特點。
[Abstract]:In view of the lack of self-error correction and the difficulty to resist entropy covert sniffing, a packet interval time stream watermarking method based on smooth packets is proposed for the existing time channel based active network pipelining techniques, which are short of self-error correction and difficult to resist entropy covert sniffing. The watermark information is extended by convolutional code, and the watermark information is embedded into the data packet stream by means of smooth grouping, and the data packet interval time is modulated alternately. In order to reduce the delay jitter, packet loss, packet merging, packet fragmentation and so on, the packet interval distribution of the watermark data stream is infinitely approximated to the normal network flow, which effectively reduces the delay jitter, packet loss, packet merging, packet fragmentation and other factors encountered in the transmission process of the data packet. Both theoretical analysis and experimental results show that the proposed method has the advantages of high detection accuracy, robustness and concealment compared with the existing data packet stream watermarking technique.
【作者單位】： 江蘇大學計算機科學與通信工程學院;
【基金】：國家自然科學基金資助項目(No.61672269) 江蘇省科技成果轉(zhuǎn)化基金資助項目(No.BA2015161)~~
【分類號】：TN918

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